CAS 2027 Materials Science Summer Intern
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CAS
Columbus, OH, US
Summary
The intern will complete training in chemical information curation and collaborate with teams to evaluate and improve materials science content workflows. They will also build professional relationships across the organization and stay updated on scientific trends.
Job Description
CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 119 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.
Position Summary:
Our Summer Intern Program seeks to create a high level of engagement and learning for participants through deep immersion into our working environment with our professional teams. Participants will benefit from exposure to world class scientists all while growing their professional networks. These connections provide great insights into career possibilities. The Internship will run from May 17th, 2027, to August 6th, 2027.
Job Accountabilities:
- Complete an initial training assignment to become familiar with chemical information curation at CAS.
- Collaborate with teammates and managers to evaluate the existing materials science content curation workflow and identify opportunities to improve both the process and scope of relevant content.
- Connect across the organization through the Summer Intern Program to build influential working relationships, preparing your career for tomorrow.
- Stay abreast of the latest scientific trends through individual and team training opportunities.
Qualifications:
- Pursuing a degree in Materials Science or related discipline (like Chemistry, Physics, or Engineering).
- Completion of multiple semesters of Materials Science and/or Chemistry coursework is required.
- Interest and willingness to explore a lean six sigma yellow belt to aid in process improvement.
- Strong problem-solving and critical-thinking skills.
- Strong communication skills, teaming skills, leadership skills.
- Ability to work effectively in a fast-paced collaborative environment as well as independently.
Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran
CAS is a leader in scientific information solutions and a division of the American Chemical Society. For over 100 years, scientists, patent professionals, and business leaders have relied on CAS to provide the hindsight, insight, and foresight needed to accelerate breakthroughs and improve lives.
Scientific data is growing at a nearly exponential rate. Finding the right information quickly, avoiding missed opportunities, and getting discoveries to market faster are constant pressures. CAS employs hundreds of scientists and technologists who curate, connect, and analyze the world's published science to reveal the unseen connections that drive confident decisions and fuel innovation.
Our solutions support the full R&D and IP lifecycle:
- CAS Newton℠: Agentic AI built for science, with conversational access to 150+ years of interconnected scientific knowledge
- CAS SciFinder Discovery Platform™: Research and discovery tools that accelerate time to market
- CAS BioFinder®: Integrated chemistry and biological data for drug discovery
- STN IP Protection Suite™: Patent search and competitive intelligence
- CAS IP Finder: AI-enhanced intellectual property search for teams at every level
- CAS Custom Services℠: Tailored data curation and knowledge management solutions
- CAS Intelligence Hub: Cloud-based, AI-ready scientific data at enterprise scale
We serve biotechnology, life sciences, pharmaceutical, agrochemical, consumer goods, diversified chemicals, academia, law firms, patent offices, and independent research organizations.
The success of AI and machine learning in science depends on data quality. CAS has the content, technology, and human expertise to help organizations build the data foundation they need to get real returns from their R&D investments.
Connect with us at cas.org.
Founded
1907
Company size
1,001-5,000 employees
Industry
IT Services and IT Consulting
Org type
Nonprofit
Headquarters
Columbus, Ohio
CAS is a leader in scientific information solutions and a division of the American Chemical Society. For over 100 years, scientists, patent professionals, and business leaders have relied on CAS to provide the hindsight, insight, and foresight needed to accelerate breakthroughs and improve lives.
Scientific data is growing at a nearly exponential rate. Finding the right information quickly, avoiding missed opportunities, and getting discoveries to market faster are constant pressures. CAS employs hundreds of scientists and technologists who curate, connect, and analyze the world's published science to reveal the unseen connections that drive confident decisions and fuel innovation.
Our solutions support the full R&D and IP lifecycle:
- CAS Newton℠: Agentic AI built for science, with conversational access to 150+ years of interconnected scientific knowledge
- CAS SciFinder Discovery Platform™: Research and discovery tools that accelerate time to market
- CAS BioFinder®: Integrated chemistry and biological data for drug discovery
- STN IP Protection Suite™: Patent search and competitive intelligence
- CAS IP Finder: AI-enhanced intellectual property search for teams at every level
- CAS Custom Services℠: Tailored data curation and knowledge management solutions
- CAS Intelligence Hub: Cloud-based, AI-ready scientific data at enterprise scale
We serve biotechnology, life sciences, pharmaceutical, agrochemical, consumer goods, diversified chemicals, academia, law firms, patent offices, and independent research organizations.
The success of AI and machine learning in science depends on data quality. CAS has the content, technology, and human expertise to help organizations build the data foundation they need to get real returns from their R&D investments.
Connect with us at cas.org.
Founded
1907
Company size
1,001-5,000 employees
Industry
IT Services and IT Consulting
Org type
Nonprofit
Headquarters
Columbus, Ohio